Automatic Speech Recognition
Transformers
Safetensors
English
moss
text-generation
speech
english
qwen3
audio
reinforcement-learning
custom_code
Eval Results (legacy)
Eval Results
Instructions to use OpenMOSS-Team/MOSS-Transcribe-preview-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-Transcribe-preview-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="OpenMOSS-Team/MOSS-Transcribe-preview-2B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("OpenMOSS-Team/MOSS-Transcribe-preview-2B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# MOSS-Transcribe-preview-2B
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<a href="https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-preview-2B"><img src="https://img.shields.io/badge/HuggingFace-Model-yellow?logo=huggingface"></a>
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# MOSS-Transcribe-preview-2B
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<img src="https://speech-demo.oss-cn-shanghai.aliyuncs.com/moss_tts_demo/tts_readme_imgaes_demo/openmoss_x_mosi" height="50" align="middle" />
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<a href="https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-preview-2B"><img src="https://img.shields.io/badge/HuggingFace-Model-yellow?logo=huggingface"></a>
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